Cloud Detection over Snow and Ice Using MISR Data

Email: [email protected], [email protected] yDepartment of Meteorology, The Pennsylvania State University, University Park, PA 16802. Email: [email protected] zJet …

Research

Current research topics of my group cover sparse modeling (e.g. Lasso), structured sparsity (e.g. hierarchical and group and graph path), analysis and methods for spectral clustering for …

stat berkeley edu binyu ps spectral sbm 791

concasseur de pierres cone sbm a vendre aux etats unis; numéro de contact sbm à yelahanka; écraser la chine sbm; power point quebradoras sbm mvp450x; équipement de concasseur de …

Electronic Journal of Statistics Vol. 5 (2011) 935–980 ISSN: 1935-7524 DOI: 10.1214/11-EJS631 High-dimensionalcovarianceestimation byminimizingℓ1-penalized log ...

High-dimensionalcovarianceestimation byminimizing ℓ …

Berkeley, CA 94720-1776 USA e-mail: [email protected] [email protected] [email protected] [email protected] Abstract: Given i.i.d. observations of a …

Spectral clustering and the high-dimensional stochastic …

In order to study spectral clustering under the stochastic blockmodel, we first show that under the more general latent space model, the eigenvectors of the normalized graph Laplacian …

Spectral clustering and the high-dimensional Stochastic …

Spectral clustering is a popular and computationally feasible method to discover these communities. The Stochastic Block Model (Holland et al., 1983) is a social network model with …

Spectral clustering and the high-dimensional Stochastic Block Model Karl Rohe, Sourav Chatterjee and Bin Yu Department of Statistics University of California Berkeley, CA 94720, U

Daytime Arctic Cloud Detection based on

Tao Shi is Assistant Professor, Department of Statistics, the Ohio State University, Columbus, OH 43210 (Email: [email protected]). Bin Yu is Professor, Department of Statistics, …

High-dimensionalcovariance estimation by …

[email protected] [email protected] Garvesh Raskutti †Bin Yu,! [email protected] [email protected] Departmentof Statistics†, and …

THE LASSO UNDER POISSON-LIKE HETEROSCEDASTICITY

THE LASSO UNDER POISSON-LIKE HETEROSCEDASTICITY 103 1.2. Our work Some definitions are needed. Let sign(x) =1 if x > 0, 0 if x = 0, −1 if x < 0, and take =s so that βˆ(λ) …

en/114/ru n signova ka zenith.md at main

Contribute to dinglei2022/en development by creating an account on GitHub.

Information in the Nonstationary Case

[email protected] Bin Yu [email protected] Department of Statistics, University of California, Berkeley, CA 94720, U.S.A. Robert E. Kass [email protected] Department of …

Asymptotic properties of Lasso+mLS and rse high …

e-mail: [email protected] and Bin Yu Department of Statistics Department of Electrical Engineering and Computer Sciences University of California, Berkeley, CA 94720, USA e-mail: …

Σb Σ bΣ bΘ Θb Θ

Submitted to the Annals of Statistics HIGH-DIMENSIONAL COVARIANCE ESTIMATION BY MINIMIZING ℓ1-PENALIZED LOG-DETERMINANT DIVERGENCE BY PRADEEP …

Randomized

Lasso adjustments of treatment effect estimates in randomized experiments Adam Bloniarza,1, Hanzhong Liua,1, Cun-Hui Zhangb, Jasjeet S. Sekhona,c, and Bin Yua,d,2 aDepartment of …

‪Bin YU‬

‪Professor of Statistics and EECS, UC Berkeley‬ - ‪‪Cited by 45,526‬‬ - ‪Statistics‬ - ‪Machine Learning‬ - ‪Neuroscience‬ - ‪Genomics‬ - ‪Remote Sensing‬

Retrieval Using MISR Data A Hierarchical Bayesian …

Yueqing Wang, Department of Statistics, University of California at Berke-ley, CA 94720-3860 (E-mail: [email protected]). Xin Jiang, LMAM, School of Mathematical Sciences, Peking …

Stability

Departments of Statistics and EECS, University of California at Berkeley, Berkeley, CA 94720, USA. E-mail: [email protected] Reproducibility is imperative for any scientific …

‪Bin YU‬

‪Professor of Statistics and EECS, UC Berkeley‬ - ‪‪Cited by 45,526‬‬ - ‪Statistics‬ - ‪Machine Learning‬ - ‪Neuroscience‬ - ‪Genomics‬ - ‪Remote Sensing‬ ... UC Berkeley Verified email at …

Impact of regularization on spectral clustering

@WalmartLabs and University of California, Berkeley The performance of spectral clustering can be considerably improved via regularization, as demonstrated empirically in Amini et al. [ Ann. …

Bin Yu | Department of Statistics

My current research focuses on practice, algorithm, and theory of statistical machine learning and causal inference. My group is engaged in interdisciplinary research with scientists from genomics, neuroscience, and precision medicine.

Embracing Statistical Challenges in the Information …

ulate more exchanges in the statistics community as well as among the different disciplines so that statistics as a field adequately positions itself in the future development of cyberin …

Bin Yu

Professor BIn Yu is the head of the Yu Group at Berkeley, which consists of 12-15 students and postdocs from Statistics and EECS. She was formally trained as a statistician, but her research …

Antony Joseph and Bin Yu July 22, 2014 …

The performance of spectral clustering can be considerably improved via regularization, as demonstrated empirically in Amini et al. [2]. Here, we provide an attempt at quantifying this …

Restricted Eigenvalue Properties for Correlated …

Garvesh Raskutti [email protected] Martin J. Wainwright ∗ [email protected] Bin Yu∗ [email protected] Department of …

Grouped and Hierarchical Model Selection through …

Department of Statistics University of California, Berkeley, USA {pengzhao, gvrocha, binyu}@stat.berkeley.edu April 17, 2006 Abstract Recently much attention has been devoted to …

Minimax rates of estimation for high-dimensional …

[email protected] [email protected] Bin Yu1,2 [email protected] Departments of Statistics1, and EECS2 UC Berkeley, Berkeley, CA …

Approximation Lasso Methods for Language Modeling

Department of Statistics University of California Berkeley., CA 94720 U.S.A. [email protected] Abstract Lasso is a regularization method for pa-rameter estimation …

Cloud Detection over Snow and Ice Using MISR Data

four spectral channels. Cloud detection is particularly di–cult in the snow- and ice-covered po- ... Email: [email protected], [email protected] yDepartment of Meteorology, The …